mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-17 17:00:15 +01:00
🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)
* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
This commit is contained in:
parent
fce7246ac1
commit
9d854dac07
37 changed files with 1030 additions and 258 deletions
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@ -1,5 +1,5 @@
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const throttle = require('lodash/throttle');
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const { getResponseSender, Constants } = require('librechat-data-provider');
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const { getResponseSender, Constants, EModelEndpoint } = require('librechat-data-provider');
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const { createAbortController, handleAbortError } = require('~/server/middleware');
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const { sendMessage, createOnProgress } = require('~/server/utils');
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const { saveMessage, getConvo } = require('~/models');
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@ -48,7 +48,7 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
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try {
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const { client } = await initializeClient({ req, res, endpointOption });
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const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
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const { onProgress: progressCallback, getPartialText } = createOnProgress({
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onProgress: throttle(
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({ text: partialText }) => {
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@ -59,7 +59,7 @@ const AskController = async (req, res, next, initializeClient, addTitle) => {
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parentMessageId: overrideParentMessageId ?? userMessageId,
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text: partialText,
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model: client.modelOptions.model,
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unfinished: true,
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unfinished,
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error: false,
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user,
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});
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@ -1,5 +1,5 @@
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const throttle = require('lodash/throttle');
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const { getResponseSender } = require('librechat-data-provider');
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const { getResponseSender, EModelEndpoint } = require('librechat-data-provider');
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const { createAbortController, handleAbortError } = require('~/server/middleware');
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const { sendMessage, createOnProgress } = require('~/server/utils');
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const { saveMessage, getConvo } = require('~/models');
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@ -48,6 +48,7 @@ const EditController = async (req, res, next, initializeClient) => {
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}
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};
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const unfinished = endpointOption.endpoint === EModelEndpoint.google ? false : true;
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const { onProgress: progressCallback, getPartialText } = createOnProgress({
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generation,
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onProgress: throttle(
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@ -59,7 +60,7 @@ const EditController = async (req, res, next, initializeClient) => {
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parentMessageId: overrideParentMessageId ?? userMessageId,
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text: partialText,
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model: endpointOption.modelOptions.model,
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unfinished: true,
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unfinished,
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isEdited: true,
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error: false,
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user,
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@ -1,9 +1,9 @@
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const { EModelEndpoint } = require('librechat-data-provider');
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const { sendMessage, sendError, countTokens, isEnabled } = require('~/server/utils');
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const { truncateText, smartTruncateText } = require('~/app/clients/prompts');
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const { saveMessage, getConvo, getConvoTitle } = require('~/models');
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const clearPendingReq = require('~/cache/clearPendingReq');
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const abortControllers = require('./abortControllers');
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const { redactMessage } = require('~/config/parsers');
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const spendTokens = require('~/models/spendTokens');
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const { abortRun } = require('./abortRun');
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const { logger } = require('~/config');
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@ -100,7 +100,15 @@ const createAbortController = (req, res, getAbortData) => {
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};
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const handleAbortError = async (res, req, error, data) => {
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logger.error('[handleAbortError] AI response error; aborting request:', error);
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if (error?.message?.includes('base64')) {
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logger.error('[handleAbortError] Error in base64 encoding', {
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...error,
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stack: smartTruncateText(error?.stack, 1000),
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message: truncateText(error.message, 350),
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});
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} else {
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logger.error('[handleAbortError] AI response error; aborting request:', error);
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}
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const { sender, conversationId, messageId, parentMessageId, partialText } = data;
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if (error.stack && error.stack.includes('google')) {
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@ -109,13 +117,15 @@ const handleAbortError = async (res, req, error, data) => {
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);
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}
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const errorText = 'An error occurred while processing your request. Please contact the Admin.';
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const respondWithError = async (partialText) => {
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let options = {
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sender,
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messageId,
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conversationId,
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parentMessageId,
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text: redactMessage(error.message),
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text: errorText,
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shouldSaveMessage: true,
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user: req.user.id,
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};
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@ -213,7 +213,13 @@ router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) =>
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/** @type {{ openai: OpenAI }} */
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const { openai } = await initializeClient({ req, res });
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const image = await uploadImageBuffer({ req, context: FileContext.avatar });
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const image = await uploadImageBuffer({
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req,
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context: FileContext.avatar,
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metadata: {
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buffer: req.file.buffer,
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},
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});
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try {
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_metadata = JSON.parse(_metadata);
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@ -18,13 +18,15 @@ router.post('/', upload.single('input'), async (req, res) => {
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}
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const fileStrategy = req.app.locals.fileStrategy;
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const webPBuffer = await resizeAvatar({
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const desiredFormat = req.app.locals.imageOutputType;
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const resizedBuffer = await resizeAvatar({
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userId,
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input,
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desiredFormat,
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});
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const { processAvatar } = getStrategyFunctions(fileStrategy);
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const url = await processAvatar({ buffer: webPBuffer, userId, manual });
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const url = await processAvatar({ buffer: resizedBuffer, userId, manual });
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res.json({ url });
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} catch (error) {
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@ -3,6 +3,7 @@ const {
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FileSources,
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Capabilities,
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EModelEndpoint,
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EImageOutputType,
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defaultSocialLogins,
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validateAzureGroups,
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mapModelToAzureConfig,
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@ -181,6 +182,7 @@ const AppService = async (app) => {
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fileConfig: config?.fileConfig,
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interface: config?.interface,
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secureImageLinks: config?.secureImageLinks,
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imageOutputType: config?.imageOutputType?.toLowerCase() ?? EImageOutputType.PNG,
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paths,
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...endpointLocals,
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};
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@ -204,6 +206,12 @@ const AppService = async (app) => {
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`,
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);
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}
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if (process.env.GOOGLE_API_KEY) {
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logger.warn(
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'The `GOOGLE_API_KEY` environment variable is deprecated.\nPlease use the `GOOGLE_SEARCH_API_KEY` environment variable instead.',
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);
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}
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};
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module.exports = AppService;
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@ -1,6 +1,7 @@
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const {
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FileSources,
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EModelEndpoint,
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EImageOutputType,
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defaultSocialLogins,
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validateAzureGroups,
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deprecatedAzureVariables,
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@ -107,6 +108,10 @@ describe('AppService', () => {
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},
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},
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paths: expect.anything(),
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imageOutputType: expect.any(String),
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interface: undefined,
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fileConfig: undefined,
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secureImageLinks: undefined,
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});
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});
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@ -125,6 +130,31 @@ describe('AppService', () => {
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expect(logger.info).toHaveBeenCalledWith(expect.stringContaining('Outdated Config version'));
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});
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it('should change the `imageOutputType` based on config value', async () => {
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require('./Config/loadCustomConfig').mockImplementationOnce(() =>
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Promise.resolve({
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version: '0.10.0',
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imageOutputType: EImageOutputType.WEBP,
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}),
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);
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await AppService(app);
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expect(app.locals.imageOutputType).toEqual(EImageOutputType.WEBP);
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});
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it('should default to `PNG` `imageOutputType` with no provided type', async () => {
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require('./Config/loadCustomConfig').mockImplementationOnce(() =>
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Promise.resolve({
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version: '0.10.0',
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}),
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);
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await AppService(app);
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expect(app.locals.imageOutputType).toEqual(EImageOutputType.PNG);
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});
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it('should initialize Firebase when fileStrategy is firebase', async () => {
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require('./Config/loadCustomConfig').mockImplementationOnce(() =>
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Promise.resolve({
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@ -1,5 +1,5 @@
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const path = require('path');
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const { CacheKeys, configSchema } = require('librechat-data-provider');
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const { CacheKeys, configSchema, EImageOutputType } = require('librechat-data-provider');
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const getLogStores = require('~/cache/getLogStores');
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const loadYaml = require('~/utils/loadYaml');
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const { logger } = require('~/config');
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@ -55,6 +55,20 @@ async function loadCustomConfig() {
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}
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const result = configSchema.strict().safeParse(customConfig);
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if (result?.error?.errors?.some((err) => err?.path && err.path?.includes('imageOutputType'))) {
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throw new Error(
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`
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Please specify a correct \`imageOutputType\` value (case-sensitive).
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The available options are:
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- ${EImageOutputType.JPEG}
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- ${EImageOutputType.PNG}
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- ${EImageOutputType.WEBP}
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Refer to the latest config file guide for more information:
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https://docs.librechat.ai/install/configuration/custom_config.html`,
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);
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}
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if (!result.success) {
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i === 0 && logger.error(`Invalid custom config file at ${configPath}`, result.error);
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i === 0 && i++;
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@ -8,7 +8,7 @@ const { updateFile } = require('~/models/File');
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const { logger } = require('~/config');
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/**
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* Converts an image file to the WebP format. The function first resizes the image based on the specified
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* Converts an image file to the target format. The function first resizes the image based on the specified
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* resolution.
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*
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* @param {Object} params - The params object.
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*
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* @returns {Promise<{ filepath: string, bytes: number, width: number, height: number}>}
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* A promise that resolves to an object containing:
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* - filepath: The path where the converted WebP image is saved.
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* - filepath: The path where the converted image is saved.
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* - bytes: The size of the converted image in bytes.
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* - width: The width of the converted image.
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* - height: The height of the converted image.
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@ -39,15 +39,16 @@ async function uploadImageToFirebase({ req, file, file_id, endpoint, resolution
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let webPBuffer;
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let fileName = `${file_id}__${path.basename(inputFilePath)}`;
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if (extension.toLowerCase() === '.webp') {
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const targetExtension = `.${req.app.locals.imageOutputType}`;
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if (extension.toLowerCase() === targetExtension) {
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webPBuffer = resizedBuffer;
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} else {
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webPBuffer = await sharp(resizedBuffer).toFormat('webp').toBuffer();
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webPBuffer = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
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// Replace or append the correct extension
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const extRegExp = new RegExp(path.extname(fileName) + '$');
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fileName = fileName.replace(extRegExp, '.webp');
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fileName = fileName.replace(extRegExp, targetExtension);
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if (!path.extname(fileName)) {
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fileName += '.webp';
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fileName += targetExtension;
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}
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}
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@ -79,7 +80,7 @@ async function prepareImageURL(req, file) {
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* If the 'manual' flag is set to 'true', it also updates the user's avatar URL in the database.
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*
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* @param {object} params - The parameters object.
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* @param {Buffer} params.buffer - The Buffer containing the avatar image in WebP format.
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* @param {Buffer} params.buffer - The Buffer containing the avatar image.
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* @param {string} params.userId - The user ID.
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* @param {string} params.manual - A string flag indicating whether the update is manual ('true' or 'false').
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* @returns {Promise<string>} - A promise that resolves with the URL of the uploaded avatar.
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|
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@ -6,11 +6,11 @@ const { updateUser } = require('~/models/userMethods');
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const { updateFile } = require('~/models/File');
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/**
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* Converts an image file to the WebP format. The function first resizes the image based on the specified
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* Converts an image file to the target format. The function first resizes the image based on the specified
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* resolution.
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*
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* If the original image is already in WebP format, it writes the resized image back. Otherwise,
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* it converts the image to WebP format before saving.
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* If the original image is already in target format, it writes the resized image back. Otherwise,
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* it converts the image to target format before saving.
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*
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* The original image is deleted after conversion.
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* @param {Object} params - The params object.
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@ -24,7 +24,7 @@ const { updateFile } = require('~/models/File');
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*
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* @returns {Promise<{ filepath: string, bytes: number, width: number, height: number}>}
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* A promise that resolves to an object containing:
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* - filepath: The path where the converted WebP image is saved.
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* - filepath: The path where the converted image is saved.
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* - bytes: The size of the converted image in bytes.
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* - width: The width of the converted image.
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* - height: The height of the converted image.
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@ -48,16 +48,17 @@ async function uploadLocalImage({ req, file, file_id, endpoint, resolution = 'hi
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const fileName = `${file_id}__${path.basename(inputFilePath)}`;
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const newPath = path.join(userPath, fileName);
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const targetExtension = `.${req.app.locals.imageOutputType}`;
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if (extension.toLowerCase() === '.webp') {
|
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if (extension.toLowerCase() === targetExtension) {
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const bytes = Buffer.byteLength(resizedBuffer);
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await fs.promises.writeFile(newPath, resizedBuffer);
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const filepath = path.posix.join('/', 'images', req.user.id, path.basename(newPath));
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return { filepath, bytes, width, height };
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}
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const outputFilePath = newPath.replace(extension, '.webp');
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const data = await sharp(resizedBuffer).toFormat('webp').toBuffer();
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const outputFilePath = newPath.replace(extension, targetExtension);
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const data = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
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await fs.promises.writeFile(outputFilePath, data);
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const bytes = Buffer.byteLength(data);
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const filepath = path.posix.join('/', 'images', req.user.id, path.basename(outputFilePath));
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|
|
@ -109,7 +110,7 @@ async function prepareImagesLocal(req, file) {
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* If the 'manual' flag is set to 'true', it also updates the user's avatar URL in the database.
|
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*
|
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* @param {object} params - The parameters object.
|
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* @param {Buffer} params.buffer - The Buffer containing the avatar image in WebP format.
|
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* @param {Buffer} params.buffer - The Buffer containing the avatar image.
|
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* @param {string} params.userId - The user ID.
|
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* @param {string} params.manual - A string flag indicating whether the update is manual ('true' or 'false').
|
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* @returns {Promise<string>} - A promise that resolves with the URL of the uploaded avatar.
|
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|
|
|
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|
|
@ -6,10 +6,11 @@ const { logger } = require('~/config');
|
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|
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/**
|
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* Uploads an avatar image for a user. This function can handle various types of input (URL, Buffer, or File object),
|
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* processes the image to a square format, converts it to WebP format, and returns the resized buffer.
|
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* processes the image to a square format, converts it to target format, and returns the resized buffer.
|
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*
|
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* @param {Object} params - The parameters object.
|
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* @param {string} params.userId - The unique identifier of the user for whom the avatar is being uploaded.
|
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* @param {string} options.desiredFormat - The desired output format of the image.
|
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* @param {(string|Buffer|File)} params.input - The input representing the avatar image. Can be a URL (string),
|
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* a Buffer, or a File object.
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*
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|
|
@ -19,7 +20,7 @@ const { logger } = require('~/config');
|
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* @throws {Error} Throws an error if the user ID is undefined, the input type is invalid, the image fetching fails,
|
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* or any other error occurs during the processing.
|
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*/
|
||||
async function resizeAvatar({ userId, input }) {
|
||||
async function resizeAvatar({ userId, input, desiredFormat }) {
|
||||
try {
|
||||
if (userId === undefined) {
|
||||
throw new Error('User ID is undefined');
|
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|
|
@ -53,7 +54,10 @@ async function resizeAvatar({ userId, input }) {
|
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})
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.toBuffer();
|
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|
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const { buffer } = await resizeAndConvert(squaredBuffer);
|
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const { buffer } = await resizeAndConvert({
|
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inputBuffer: squaredBuffer,
|
||||
desiredFormat,
|
||||
});
|
||||
return buffer;
|
||||
} catch (error) {
|
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logger.error('Error uploading the avatar:', error);
|
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|
|
|
|||
|
|
@ -6,7 +6,7 @@ const { getStrategyFunctions } = require('../strategies');
|
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const { logger } = require('~/config');
|
||||
|
||||
/**
|
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* Converts an image file or buffer to WebP format with specified resolution.
|
||||
* Converts an image file or buffer to target output type with specified resolution.
|
||||
*
|
||||
* @param {Express.Request} req - The request object, containing user and app configuration data.
|
||||
* @param {Buffer | Express.Multer.File} file - The file object, containing either a path or a buffer.
|
||||
|
|
@ -15,7 +15,7 @@ const { logger } = require('~/config');
|
|||
* @returns {Promise<{filepath: string, bytes: number, width: number, height: number}>} An object containing the path, size, and dimensions of the converted image.
|
||||
* @throws Throws an error if there is an issue during the conversion process.
|
||||
*/
|
||||
async function convertToWebP(req, file, resolution = 'high', basename = '') {
|
||||
async function convertImage(req, file, resolution = 'high', basename = '') {
|
||||
try {
|
||||
let inputBuffer;
|
||||
let outputBuffer;
|
||||
|
|
@ -38,13 +38,13 @@ async function convertToWebP(req, file, resolution = 'high', basename = '') {
|
|||
height,
|
||||
} = await resizeImageBuffer(inputBuffer, resolution);
|
||||
|
||||
// Check if the file is already in WebP format
|
||||
// If it isn't, convert it:
|
||||
if (extension === '.webp') {
|
||||
// Check if the file is already in target format; if it isn't, convert it:
|
||||
const targetExtension = `.${req.app.locals.imageOutputType}`;
|
||||
if (extension === targetExtension) {
|
||||
outputBuffer = resizedBuffer;
|
||||
} else {
|
||||
outputBuffer = await sharp(resizedBuffer).toFormat('webp').toBuffer();
|
||||
extension = '.webp';
|
||||
outputBuffer = await sharp(resizedBuffer).toFormat(req.app.locals.imageOutputType).toBuffer();
|
||||
extension = targetExtension;
|
||||
}
|
||||
|
||||
// Generate a new filename for the output file
|
||||
|
|
@ -67,4 +67,4 @@ async function convertToWebP(req, file, resolution = 'high', basename = '') {
|
|||
}
|
||||
}
|
||||
|
||||
module.exports = { convertToWebP };
|
||||
module.exports = { convertImage };
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
const axios = require('axios');
|
||||
const { EModelEndpoint, FileSources } = require('librechat-data-provider');
|
||||
const { EModelEndpoint, FileSources, VisionModes } = require('librechat-data-provider');
|
||||
const { getStrategyFunctions } = require('../strategies');
|
||||
const { logger } = require('~/config');
|
||||
|
||||
|
|
@ -30,11 +30,20 @@ const base64Only = new Set([EModelEndpoint.google, EModelEndpoint.anthropic]);
|
|||
* @param {Express.Request} req - The request object.
|
||||
* @param {Array<MongoFile>} files - The array of files to encode and format.
|
||||
* @param {EModelEndpoint} [endpoint] - Optional: The endpoint for the image.
|
||||
* @param {string} [mode] - Optional: The endpoint mode for the image.
|
||||
* @returns {Promise<Object>} - A promise that resolves to the result object containing the encoded images and file details.
|
||||
*/
|
||||
async function encodeAndFormat(req, files, endpoint) {
|
||||
async function encodeAndFormat(req, files, endpoint, mode) {
|
||||
const promises = [];
|
||||
const encodingMethods = {};
|
||||
const result = {
|
||||
files: [],
|
||||
image_urls: [],
|
||||
};
|
||||
|
||||
if (!files || !files.length) {
|
||||
return result;
|
||||
}
|
||||
|
||||
for (let file of files) {
|
||||
const source = file.source ?? FileSources.local;
|
||||
|
|
@ -69,11 +78,6 @@ async function encodeAndFormat(req, files, endpoint) {
|
|||
/** @type {Array<[MongoFile, string]>} */
|
||||
const formattedImages = await Promise.all(promises);
|
||||
|
||||
const result = {
|
||||
files: [],
|
||||
image_urls: [],
|
||||
};
|
||||
|
||||
for (const [file, imageContent] of formattedImages) {
|
||||
const fileMetadata = {
|
||||
type: file.type,
|
||||
|
|
@ -98,12 +102,18 @@ async function encodeAndFormat(req, files, endpoint) {
|
|||
image_url: {
|
||||
url: imageContent.startsWith('http')
|
||||
? imageContent
|
||||
: `data:image/webp;base64,${imageContent}`,
|
||||
: `data:${file.type};base64,${imageContent}`,
|
||||
detail,
|
||||
},
|
||||
};
|
||||
|
||||
if (endpoint && endpoint === EModelEndpoint.google) {
|
||||
if (endpoint && endpoint === EModelEndpoint.google && mode === VisionModes.generative) {
|
||||
delete imagePart.image_url;
|
||||
imagePart.inlineData = {
|
||||
mimeType: file.type,
|
||||
data: imageContent,
|
||||
};
|
||||
} else if (endpoint && endpoint === EModelEndpoint.google) {
|
||||
imagePart.image_url = imagePart.image_url.url;
|
||||
} else if (endpoint && endpoint === EModelEndpoint.anthropic) {
|
||||
imagePart.type = 'image';
|
||||
|
|
|
|||
|
|
@ -62,14 +62,20 @@ async function resizeImageBuffer(inputBuffer, resolution, endpoint) {
|
|||
}
|
||||
|
||||
/**
|
||||
* Resizes an image buffer to webp format as well as reduces by specified or default 150 px width.
|
||||
* Resizes an image buffer to a specified format and width.
|
||||
*
|
||||
* @param {Buffer} inputBuffer - The buffer of the image to be resized.
|
||||
* @returns {Promise<{ buffer: Buffer, width: number, height: number, bytes: number }>} An object containing the resized image buffer, its size and dimensions.
|
||||
* @throws Will throw an error if the resolution parameter is invalid.
|
||||
* @param {Object} options - The options for resizing and converting the image.
|
||||
* @param {Buffer} options.inputBuffer - The buffer of the image to be resized.
|
||||
* @param {string} options.desiredFormat - The desired output format of the image.
|
||||
* @param {number} [options.width=150] - The desired width of the image. Defaults to 150 pixels.
|
||||
* @returns {Promise<{ buffer: Buffer, width: number, height: number, bytes: number }>} An object containing the resized image buffer, its size, and dimensions.
|
||||
* @throws Will throw an error if the resolution or format parameters are invalid.
|
||||
*/
|
||||
async function resizeAndConvert(inputBuffer, width = 150) {
|
||||
const resizedBuffer = await sharp(inputBuffer).resize({ width }).toFormat('webp').toBuffer();
|
||||
async function resizeAndConvert({ inputBuffer, desiredFormat, width = 150 }) {
|
||||
const resizedBuffer = await sharp(inputBuffer)
|
||||
.resize({ width })
|
||||
.toFormat(desiredFormat)
|
||||
.toBuffer();
|
||||
const resizedMetadata = await sharp(resizedBuffer).metadata();
|
||||
return {
|
||||
buffer: resizedBuffer,
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ const {
|
|||
hostImageIdSuffix,
|
||||
hostImageNamePrefix,
|
||||
} = require('librechat-data-provider');
|
||||
const { convertToWebP, resizeAndConvert } = require('~/server/services/Files/images');
|
||||
const { convertImage, resizeAndConvert } = require('~/server/services/Files/images');
|
||||
const { initializeClient } = require('~/server/services/Endpoints/assistants');
|
||||
const { createFile, updateFileUsage, deleteFiles } = require('~/models/File');
|
||||
const { LB_QueueAsyncCall } = require('~/server/utils/queue');
|
||||
|
|
@ -207,7 +207,7 @@ const processImageFile = async ({ req, res, file, metadata }) => {
|
|||
filename: file.originalname,
|
||||
context: FileContext.message_attachment,
|
||||
source,
|
||||
type: 'image/webp',
|
||||
type: `image/${req.app.locals.imageOutputType}`,
|
||||
width,
|
||||
height,
|
||||
},
|
||||
|
|
@ -223,9 +223,9 @@ const processImageFile = async ({ req, res, file, metadata }) => {
|
|||
* @param {Object} params - The parameters object.
|
||||
* @param {Express.Request} params.req - The Express request object.
|
||||
* @param {FileContext} params.context - The context of the file (e.g., 'avatar', 'image_generation', etc.)
|
||||
* @param {boolean} [params.resize=true] - Whether to resize and convert the image to WebP. Default is `true`.
|
||||
* @param {boolean} [params.resize=true] - Whether to resize and convert the image to target format. Default is `true`.
|
||||
* @param {{ buffer: Buffer, width: number, height: number, bytes: number, filename: string, type: string, file_id: string }} [params.metadata] - Required metadata for the file if resize is false.
|
||||
* @returns {Promise<{ filepath: string, filename: string, source: string, type: 'image/webp'}>}
|
||||
* @returns {Promise<{ filepath: string, filename: string, source: string, type: string}>}
|
||||
*/
|
||||
const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true }) => {
|
||||
const source = req.app.locals.fileStrategy;
|
||||
|
|
@ -233,9 +233,14 @@ const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true })
|
|||
let { buffer, width, height, bytes, filename, file_id, type } = metadata;
|
||||
if (resize) {
|
||||
file_id = v4();
|
||||
type = 'image/webp';
|
||||
({ buffer, width, height, bytes } = await resizeAndConvert(req.file.buffer));
|
||||
filename = path.basename(req.file.originalname, path.extname(req.file.originalname)) + '.webp';
|
||||
type = `image/${req.app.locals.imageOutputType}`;
|
||||
({ buffer, width, height, bytes } = await resizeAndConvert({
|
||||
inputBuffer: buffer,
|
||||
desiredFormat: req.app.locals.imageOutputType,
|
||||
}));
|
||||
filename = `${path.basename(req.file.originalname, path.extname(req.file.originalname))}.${
|
||||
req.app.locals.imageOutputType
|
||||
}`;
|
||||
}
|
||||
|
||||
const filepath = await saveBuffer({ userId: req.user.id, fileName: filename, buffer });
|
||||
|
|
@ -363,7 +368,7 @@ const processOpenAIFile = async ({
|
|||
};
|
||||
|
||||
/**
|
||||
* Process OpenAI image files, convert to webp, save and return file metadata.
|
||||
* Process OpenAI image files, convert to target format, save and return file metadata.
|
||||
* @param {object} params - The params object.
|
||||
* @param {Express.Request} params.req - The Express request object.
|
||||
* @param {Buffer} params.buffer - The image buffer.
|
||||
|
|
@ -375,12 +380,12 @@ const processOpenAIFile = async ({
|
|||
const processOpenAIImageOutput = async ({ req, buffer, file_id, filename, fileExt }) => {
|
||||
const currentDate = new Date();
|
||||
const formattedDate = currentDate.toISOString();
|
||||
const _file = await convertToWebP(req, buffer, 'high', `${file_id}${fileExt}`);
|
||||
const _file = await convertImage(req, buffer, 'high', `${file_id}${fileExt}`);
|
||||
const file = {
|
||||
..._file,
|
||||
usage: 1,
|
||||
user: req.user.id,
|
||||
type: 'image/webp',
|
||||
type: `image/${req.app.locals.imageOutputType}`,
|
||||
createdAt: formattedDate,
|
||||
updatedAt: formattedDate,
|
||||
source: req.app.locals.fileStrategy,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue